Evidence map›Paper›PMID 35326945›Full record

ArticleHealthcare (Basel, Switzerland)2022

Self-Service System for the Family Members of ICU Patients: A Pilot Study.

I-Chiu Chang, Ying-Hui Hou, Li-Jung Lu, Yu-Chen Tung

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

I-Chiu ChangDepartment of Information Management, National Chung Cheng University, Chiayi 62102, Taiwan.
Ying-Hui HouDepartment of Health Industry Management, Kainan University, Taoyuan 33857, Taiwan.
Li-Jung LuDepartment of Information Management, National Chung Cheng University, Chiayi 62102, Taiwan.
Yu-Chen TungDepartment of Nursing, Chi Mei Medical Center, Tainan 71004, Taiwan.
National Chung Cheng University · TWChi Mei Medical Center · TWKainan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Family members of intensive care unit patients are often experience high anxiety and require more information about the patients. However, most Taiwanese healthcare institutions currently face manpower shortages due to the COVID-19 pandemic. Therefore, the task of providing additional services to meet family members' needs and relieve their stress was deferred by some healthcare institutions. The self-service system, known to be effective and efficient in other industries, was recommended for use in the healthcare industry. This study aims to explore an intensive care unit self-service system (ICU-SSS) designed for the family members of ICU patients. This study investigates the feasibility of the system by following a mixed method approach, including qualitative interviews and a quantitative survey. Firstly, interviews with five family members and five ICU staff members of a case hospital were conducted to identify the need to develop an ICU-SSS for the family member. Secondly, a survey was completed by 30 family members to evaluate the system. The interview results reveal nine categories of family members' needs and the survey results show that the ICU family members assigned acceptable scores to all the ICU-SSS functions, except the importance of "Logistical information". Based on these findings, the scientific and practical implications are discussed.

Indexed as

family member requirementsimportance–performance analysisinformational systemsintensive care unitself-service technology

Identifiers

PMID35326945
PMCPMC8954250
OpenAlexW4214931899

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.